The quest for quality in healthcare has led to attempts to develop models to determine which providers have the highest quality in healthcare, with the best outcomes for patients. Text Mining Techniques for Healthcare Provider Quality Determination: Methods for Rank Comparisons discusses the general practice of defining a patient severity index in order to make risk adjustments to compare patient outcomes across multiple providers with the intent of ranking the providers in terms of quality. This innovative reference source, valuable to medical practitioners, researchers, and academicians, brings together research from across the globe focusing on how severity indices are generally defined when determining the best outcome for patient care.
| ISBN-13: | 9781605667522 |
| ISBN-10: | 1605667528 |
| Publisher: | Medical Information Science Reference |
| Publication date: | 2010 |
| Edition description: | 1 |
| Pages: | 398 |
| Product dimensions: | Height: 11 Inches, Length: 8.5 Inches, Weight: 3.20993053472 Pounds, Width: 0.94 Inches |
| Author: | Patricia B. Cerrito |
| Language: | en |
| Binding: | Hardcover |
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